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<TITLE>  D. H. Fisher Research Group </TITLE>
<body bgcolor="#ffffff">

 <h2>  <!WA0><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/dfisher.html">
        Doug Fisher's </a> research group list </h2>
 <DL>
 <DD> <!WA1><A HREF="http://www.vuse.vanderbilt.edu/~csinfo/cs.html">
      Department of Computer Science </A> 
 <DD> Box 1679, Station B 
 <DD> <!WA2><a href="http://www.vanderbilt.edu">Vanderbilt University</A> 
 <DD> <!WA3><a href="http://www.nashville.net">Nashville</A>, Tennessee 37235 
 <DD> USA 
 </DL>

<DL>
<DT> Phone: (615) 343-4111
<DT> FAX: (615) 343-8006
<DT> Email: dfisher@vuse.vanderbilt.edu
</DL>

<hr>
A full list of publications can be found at the latter portion
of this page.
Gradually, abstracts of these publications
will be placed on line in html
form, with pointers to subsequent work, raw data, reader comments,
and other material appropriate for an addendum. 
A list of current online reports or addenda are given first.

<hr>

<h2> Online Reports and Addenda </h2>
In many cases, technical reports and electronic addenda of published work
will be placed on line here in both postscript
and html format (though not necessarily at the same time).
Your comments are welcome. In certain of these cases,
should you email comments regarding 
related literature, suggestions for experimental or theoretical 
improvements, alternative viewpoints, then your comments, if reasonable
and informative, they will be linked to the html version of the technical 
report (or addendum) and under a separate list of comments -- unless
you state that you do not want this to be done. I may also
link responses to your comments, but not before getting your feedback
on a response. 

<p>
Comments on purely style issues are welcome, but they probably will not 
be linked in. Others who view the technical report will be free 
to view your comments as well. If your comments inform a revision 
of the report (e.g., for publication), then I will acknowledge them 
as a personal communication, or otherwise cite the literature that 
you relate (if I deem it relevant). If your comments are online and 
linked to a report, then you agree to allow others to cite 
them as personal communication as well (again, unless you state
that your comments should not be linked).

<p>
The following is a list of technical report titles, addenda, etc.
that are currently
online. These are links to either postscript versions of the paper,
or html `headers' that allow access
to postscript and html versions.

<p>
<h2> Online Research Titles: </h2>
<p>
Fisher, D. (1992). <!WA4><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/tr-92-12.html">
Pessimistic and Optimistic Induction (TR CS-92-12)</A>.

<p>
Fisher, D. (1995). 
Iterative Optimization and Simplification of
Hierarchical Clusterings (TR CS-95-01). Superceded by
<!WA5><A
HREF="http://cswww.vuse.vanderbilt.edu/~dfisher/jair-96/html-final/html-final.html">
JAIR paper</A> of same name.

<p>
Fisher (1995). <!WA6><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/TSE-95.html">
An addendum to `Machine Learning Approaches to Estimating Software
Development Effort' (IEEE TSE, 1995) </A>

<p>
Fisher, D. (in preparation).
A Survey of Supervised, Machine Learning Systems
(coming soon).

<p>
Ortega, J. (1995). <!WA7><A
HREF="http://www.vuse.vanderbilt.edu/~julio/tn.ps">
On the informativeness of the DNA promoter sequences domain
theory.</a> Journal of Artificial Intelligence Research.

<p>
Fisher, D. (1996). <!WA8><A HREF="http://cswww.vuse.vanderbilt.edu/~dfisher/jair-96/html-final/html-final.html">
Iterative Optimization and Simplification of
Hierarchical Clusterings</A>.
<i>Journal of Artificial Intelligence Research, 4</i>, pp. 147-180.

<p>
Lin, J. (1995). <i><!WA9><a href="http://cswww.vuse.vanderbilt.edu/~dfisher/linj/Thesis/root/root.html">
A comparative study of default strategies
for a decision list learner</a></i>. Masters Thesis. Department
of Computer Science, Vanderbilt University, Nashville, TN. 

<p> Manganaris, S. (1996).
     <!WA10><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/abdea.html">
     "A Bayesian Density Estimation Algorithm." (abstract, html)</A>
     Submitted to KDD '96 and ISIS.<BR>
     PostScript (182K) <!WA11><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/abdea.ps">abdea.ps</A>.

<p> Manganaris, S. (1995).
     <!WA12><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/ltcsd.html">
     "Learning to Classify Sensor Data."</A>
     IJCAI '95, Workshop on Machine Learning in Engineering.<BR>
     PostScript (209K) <!WA13><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/ltcsd.ps">ltcsd.ps</A>.

<p> Manganaris, S. (1995).
     <!WA14><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/biofitd.html">
     "Bayesian Induction of Features in Temporal Domains." (abstract, html)</A>
     IJCAI '95, Workshop on Data Engineering for Inductive Learning.<BR>
     PostScript (210K) <!WA15><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/biofitd.ps">biofitd.ps</A>.

<p> Manganaris, S. & Fisher, D. (1994).
     <!WA16><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/ltsfim.html">
     "Learning Time Series for Intelligent Monitoring."</A>
     In <cite>Proc. of the Third Intl. Symposium on Artificial
     Intelligence, Robotics, and Automation for Space,</cite> pages 71-74,
     Pasadena, CA, October 1994.


<hr>
<hr>
<p>
<h2> Other Research Titles: </h2>
In some cases, abstracts or other auxiliary material is online
for these titles.
 
<p>
<b> Archival Periodicals </b>

<p>
Evans, B., & Fisher, D. (1994). 
<!WA17><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/IEEE-Exp-94.html">
``Process delay analysis using decision tree
induction.''</a> <i> IEEE Expert, 9, 1</i>, 60-66.

<p>
Fisher, D. (1987) ``Knowledge Acquisition Via Incremental Conceptual 
Clustering,'' <i> Machine Learning, 2</i>, 139-172.
Reprinted in <i> Readings in Machine Learning</i>, J. Shavlik &
T. Dietterich (Eds.), 267-283, Morgan Kaufmann, 1990.

<p>
Fisher, D. (1996). <!WA18><A HREF="http://cswww.vuse.vanderbilt.edu/~dfisher/tech-reports/jair96.html">
Iterative Optimization and Simplification of
Hierarchical Clusterings</A>.
<i>Journal of Artificial Intelligence Research, 4</i>, pp. 147-180.

<p>
Fisher, D., & Chan, P. (1990). ``Statistical Guidance in Symbolic 
Learning,'' <i> Annals of Mathematics and Artificial Intelligence, 2</i>, 
135-148.

<p>
Fisher, D., & Hapanyengwi, G. (1993). ``Database Management and Analysis 
Tools of Machine Learning.'' <i> Journal of Intelligent
Information Systems, 2</i>, 5-38.

<p>
Fisher, D., & Langley, P. (1990). ``The Structure and Formation of Natural
Categories," In Gordon Bower (Ed.), 
<i> The Psychology of Learning and Motivation</i>, <i> Vol. 26</i>, 
San Diego, CA: Academic Press, 241-284.

<p>
Fisher, D., & Yoo, J. (1993).
<!WA19><a href="http://www.vuse.vanderbilt.edu/~dfisher/problem-solve.html">
``Problem solving, categorization, and concept
learning: A unifying view''</a> In Nakamura, G., Taraban, R., & Medin, D.
(Eds.) 
<i> The Psychology of Learning and Motivation</i>, <i> Vol. 29</i>, San
Diego, CA: Academic Press, 219-255.

<p>
Fisher, D., Xu, L., Carnes, R., Reich, Y., Fenves, S., Chen, J.,
Shiavi, R., Biswas, G., & Weinberg, J. (1993). 
``Applying
AI clustering to engineering tasks.'' <i> IEEE Expert, 8, 6</i>,
51-60.

<p>
Gennari, J., Langley, P., & Fisher, D. (1989).
``Models of Incremental Concept Formation'', 
<i> Artificial Intelligence, 40</i>, 11-62.

<p>
Ortega, J. (1995). <!WA20><A
HREF="http://www.vuse.vanderbilt.edu/~julio/tn.ps">
On the informativeness of the DNA promoter sequences domain
theory.</a> Journal of Artificial Intelligence Research.

<p>
Saraf, R., & Fisher, D. (in press) 
<!WA21><a href="http://www.vuse.vanderbilt.edu/~dfisher/traffic.html">
``Online signal-plan generation
for centralized traffic control using neural networks.''</a> <i> IVHS Journal</i>.

<p>
Srinivasan, K., & Fisher, D. (1995). 
 iii) <!WA22><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/TSE-95.html">
``Machine learning approaches to
estimating software development effort.''</a> <i> IEEE Transactions on Software
Engineering, 21</i>, 126-137.

<hr>

<b> Books and Chapters therein</b>

<p>
Fisher, D., & Lenz, H.J., Eds. (1996). <i> Learning from Data: 
Artificial and Intelligence V.</i> New York, NY: Springer Verlag,
450 pages, 42 chapters.

<p>
Fisher, D., Pazzani, M., & Langley, P., Eds., (1991).
<i> Concept Formation: Experience
and Knowledge in Unsupervised Learning</i>. San Mateo, CA:
Morgan Kaufmann, 472 pages, 15 chapters.

<p>
Fisher, D., & Pazzani, M. (1991).
 ``Computational Models of Concept Induction''
In Fisher, D., Pazzani, M., & Langley, P. (Eds.)
<i> Concept Formation: Experience
and Knowledge in Unsupervised Learning</i>. San Mateo, CA:
Morgan Kaufmann, 3-44.

<p>
Fisher, D., & Pazzani, M. (1991).
``Theory-Guided Concept Formation''
In Fisher, D., Pazzani, M., & Langley, P. (Eds.) 
<i> Concept Formation: Experience
and Knowledge in Unsupervised Learning</i>. San Mateo, CA:
Morgan Kaufmann, 165-178.

<p>
Fisher, D., & Pazzani, M. (1991).
``Concept Formation in Context'' 
In Fisher, D., Pazzani, M., & Langley, P.
(Eds.) <i> Concept Formation: Experience
and Knowledge in Unsupervised Learning</i>. San Mateo, CA:
Morgan Kaufmann, 307-322.

<p>
Yoo, J., & Fisher, D. (1991).
``Concept Formation over Problem-Solving Experience''
In Fisher, D., Pazzani, M., & Langley, P.
(Eds.) <i> Concept Formation: Experience
and Knowledge in Unsupervised Learning</i>. San Mateo, CA:
Morgan Kaufmann, 279-306.

<hr>

<b> Other Book Chapters</b>

<p>
Biswas, G., Goldman, S., Fisher, D., Bhuva, B., & Glewwe, G. (1995).
``Assessing Design Activity in Complex CMOS Circuit Design'' In
P. Nichols, S. Chipman, & B. Brennan (Eds.), <i> Cognitively
Diagnostic Assessment</i>, Lawrence Erlbaum, pp. 167-188.

<p>
Evans, R., & Fisher, D. (in press). 
``Mitigating Delays in Printing with Interactive
Machine Induction'' In P. Langley
& Y. Kodratoff (Eds.), <i> Fielded Applications of Machine
Learning</i>, Morgan Kaufmann.

<p>
Fisher, D., & Langley, P. (1986).
``Methods of conceptual clustering and their relation to numerical 
taxonomy,'' In W. Gale (Ed.), <i> Artificial Intelligence and Statistics</i>.
Addison-Wesley, 77-116.

<hr>

<b> Archival Conferences</b> 

<p>
Fisher, D. (1988).
``A Computational Account of Basic Level and Typicality Effects'',
<i> Proceedings of the Seventh National Conference on Artificial
Intelligence</i>. Minneapolis, MN: Morgan Kaufmann, 233-238.

<p>
Fisher, D. (1987). ``Improving Inference Through Conceptual Clustering,''
<i> Proceedings of the Sixth National Conference on Artificial
Intelligence</i>, Seattle, WA: Morgan Kaufmann, 461-465.

<p>
Fisher, D. (1989). ``Noise-Tolerant Conceptual Clustering''
<i> Proceedings of the International Joint Conference on Artificial
Intelligence</i>, Detroit, MI: Morgan Kaufmann, 825-830.

<p>
Fisher, D., & Langley, P. (1985).
``Approaches to Conceptual Clustering,'' 
<i> Proceedings of the International Joint Conference on Artificial
Intelligence</i>, Los Angeles, CA: Morgan Kaufmann, 691-697.

<p>
Fisher, D., & McKusick, K. (1989).
``An Empirical Comparison of ID3 and Back-propagation''
<i> Proceedings of the International Joint Conference on Artificial
Intelligence</i>, Detroit, MI: Morgan Kaufmann, 788-793.

<p>
Schlimmer, J., & Fisher, D. (1986).
``A Case Study of Incremental Concept Formation,''
<i> Proceedings of the Fifth National Conference on 
Artificial Intelligence</i>, Philadelphia, PA: Morgan Kaufmann, 496-501.

<p>
Yoo, J., & Fisher, D. (1991).
``Concept formation over explanations and
problem-solving experiences'' <i> Proceedings of the
International Joint Conference on
Artificial Intelligence</i>, Sydney, Australia: Morgan Kaufmann, 630-636.

<hr>

<b> Other Conferences</b> 

<p>
Billman, D., Fisher, D., Gluck, M., Langley, P., & Pazzani, M. (1990). 
``Computational Models of Category Learning''
Annual Conference of the Cognitive Science Society,
Boston, MA: Lawrence Erlbaum.

<p>
Carlson, B., Weinberg, J., & Fisher, D. (1990).
``Managing Search Using Incremental
Conceptual Clustering''
<i> Seventh International Conference on Machine
Learning</i>. Austin, TX: Morgan Kaufmann.


<p>
Fisher, D., & Schlimmer, J. (1988). ``Concept Simplification and Prediction
Accuracy,'' <i> Proceedings of the Fifth International Machine
Learning Conference</i>. Ann Arbor, MI: Morgan Kaufmann.

<p>
Fisher, D., Xu, L., & Zard, N. (1992).
``Ordering Effects in Clustering,''
<i> Proceedings of the Eighth Intermational Machine Learning
Conference</i>, Aberdeen, UK: Morgan Kaufmann.

<p>
Manganaris, S., Fisher, D., & Kulkarni, D. (1993). ``Towards a Machine
Learning Framework for Acquiring and Exploiting Monitoring and
Diagnostic Knowledge,'' <i> The Eleventh International Conference on
Applications of AI</i>, Orlando, FL: International Society
for Optical Engineering.

<p>
Ortega, J., Lee, G., & Fisher, D. (1989).
``Representation Issues in Learning from Examples''
<i> Second International Conference
on Industrial and Engineering Applications of Artificial Intelligence and
Expert Systems</i>, Tullahoma, TN: ACM Press.

<p>
Rodriguez-Moscoso, J., & Fisher, D. (1989).
``Intelligent, Real-Time Traffic
Control: A Connectionist Model"
<i> Second International Conference
on Industrial and Engineering Applications of Artificial Intelligence and
Expert Systems</i>, Tullahoma, TN: ACM Press.

<p>
Silber, J., & Fisher, D. (1989).
``A Model of Natural Category Structure and its
Behavioral Implications" Annual Conference of the Cognitive Science Society,
Ann Arbor, MI: Lawrence Erlbaum.

<p>
Yang, H., Fisher D., & Franke, H. (1990).
``Improving Planning Efficiency by
Conceptual Clustering''
<i> Third International Conference
on Industrial and Engineering Applications of Artificial Intelligence and
Expert Systems</i>, ACM Press.

<hr>

<b> Workshops and Symposia</b>

<p>
Carnes, R., & Fisher, D. (1992).
``Inductive Learning Approaches to Sensor
Placement and Diagnosis,'' <i> Second International Workshop on
Principles of Diagnosis</i>, Rosario, WA.

<p>
Fisher, D. (1987).
``Conceptual Clustering, Learning from Examples, and Inference,''
<i> Proceedings of the Fourth International Workshop on Machine
Learning</i>. Irvine, CA: Morgan Kaufmann.


<p>
Fisher, D. (1993).
``Ordering Effects in Incremental Learning,'' <i> AAAI
Spring Symposium on Training Issues in Incremental Learning</i>, Palo
Alto, CA.

<p>
Fisher, D., Ortega, J., & Gallaher, M. (1993).
``Induction over All: A Hybrid
Approach to Speedup Learning,'' <i> Third International Workshop
on Knowledge Compilation and Speedup Learning</i>, Amherst, MA.

<p>
Fisher, D., Carnes, R., Yang, H., & Yoo, J. (1992).
``Basic Levels of Problem
Solving and Related Phenomena,'' <i> AAAI Workshop on Approximations
and Abstractions</i>, San Jose, CA.

<p> Fisher, D., Manganaris, S., & Yoo, J. (1992).
  Clustering approaches to
     Speedup Learning.  In <CITE>Proc. of the ML92 Workshop on Knowledge
     Compilation &amp; Speedup Learning</CITE>, Aberdeen, UK.

<p> Fisher, D., Manganaris, S., Weinberg, J., & R. Carnes. (1992).
     Adaptively Interfacing Associative and Model-Based Diagnosis.  In
     <CITE>Collected Abstracts of the First NASA Workshop on Monitoring and
     Diagnosis</CITE>, Pasadena, CA, January 1992.

<p>
Fisher, D., McKusick, K., Mooney, R., Shavlik, J., & Towell, G. (1989). 
``Processing Issues in Comparisons of Symbolic and Connectionist Learning
Systems" 
<i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:
Morgan Kaufmann.

<p>
Fisher, D., Subramanian, D., & Tadepalli, P. (1992).
``An overview of current
research on knowledge compilation and speedup learning.''
<i> Workshop on Knowledge Compilation and Speedup
Learning</i>, Aberdeen, UK.

<p>
Fisher D., Yang, H., & Yoo, J. (1990).
``Case-Based and Abstraction-Based 
Reasoning'' AAAI Symposium on Case-Based Reasoning, Palo Alto, CA:
AAAI Press.

<p>
Fisher, D., & Yoo, J. (1991).
``Combining evidence from deep and surface
features'' <i> Proceedings of 
the International Workshop on Machine Learning</i>,
Chicago, IL: Morgan Kaufmann.

<p> Manganaris, S. & Fisher, D. and Kulkarni, D. (1993).
  Discovering Operating
     Modes in Telemetry Data from the Shuttle Reaction Control System.
     In <CITE>Proc. of the Seventh Annual Workshop on Space Operations,
     Applications, and Research (SOAR '93)</CITE>, NASA JSC, Huston, TX,
     August 1993.


<p>
Manganaris, S., & Fisher, D. (1994). ``Learning Time Series for
Intelligent Monitoring,'' <i> i-SAIRAS</i>,
Pasadena, CA.


<p>
Ortega, J., & Fisher, D. (1993).
``Inductive Speedup Learning Revisited with
FOIL,'' <i> Third International Workshop
on Knowledge Compilation and Speedup Learning</i>, Amherst, MA.

<p>
Rodriguez-Moscoso, J., & Fisher, D. (1989).
``A Connectionist Model of Intelligent, 
Real-Time Traffic Control"
<i> Second International Workshop on Neural Networks and Their 
Applications (Neuro-Nimes)</i>.

<p>
Yang, H., & Fisher, D. (1989).
``Conceptual Clustering of Means-Ends Plans,''
<i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:
Morgan Kaufmann.

<p>
Yang, H., & Fisher, D. (1993).
``Planning Speedup by Learning, Reusing,
and Patching Macro Operators,'' <i> Third International Workshop
on Knowledge Compilation and Speedup Learning</i>, Amherst, MA.


<p>
Yang, H., Franke, H., & Fisher D. (1990).
``Planning, Replanning, and Learning
with an Abstraction Hierarchy'' AAAI Symposium on Planning
in Uncertain Environments, Palo Alto, CA: AAAI Press.

<p>
Yoo, J., & Fisher, D. (1989).
 ``Conceptual Clustering of Explanations,''
<i> Sixth International Machine Learning Workshop</i>, Ithaca, NY:
Morgan Kaufmann.

<p>
Yoo, J., & Fisher, D. (1991).
``Identifying cost-effective boundaries of
operationality''  <i> Proceedings of the International Workshop on 
Machine Learning</i>, Chicago, IL: Morgan Kaufmann.

<hr>

<b> Technical Reports (selected)</b>

<p>
Fisher, D. (1985).
``A Hierarchical Conceptual Clustering Algorithm,'' Technical Report
85-21, Department of Information and Computer Science, University of
California, Irvine.

<p> Fisher, D. (1995).
<!WA23><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/tr-95-01.html">
Iterative Optimization and Simplification of
Hierarchical Clusterings (TR CS-95-01) </A>

<p>
Fisher, D. (1987).
``Knowledge Acquisition Via Incremental Conceptual Clustering,''
Technical Report 87-22 (Doctoral Dissertation), Department of
Information and Computer Science, University of California, Irvine.


<p> Fisher, D. (1992).
<!WA24><A HREF="http://www.vuse.vanderbilt.edu/~dfisher/tech-reports/tr-92-12.html">
Pessimistic and Optimistic Induction (TR CS-92-12) </A>

<p>
Fisher, D., & Schlimmer, J. (1988).
``Models of Incremental Concept Learning,''
Technical
Report 88-05, Department of Computer Science, Vanderbilt University,
Nashville, TN.

<p>
Langley, P., Simon, H., Zytkow, J., & Fisher, D. (1985).
``Discovering Qualitative Empirical Laws,''
Technical Report 85-18, Department of 
Information and Computer Science, University of California, Irvine.

<p>
One of 24 coauthors. (1991).
``The MONK Problems - A Performance Comparison
of Different Learning Algorithms'' CMU Technical Report CS-91-197,
Department of Computer Science, CMU, Pittsburgh, PA.





